• DocumentCode
    2672112
  • Title

    Particle Swarm Optimization Tuned Flatness-Based Generator Excitation Controller

  • Author

    Anene, E.C. ; Venayagamoorthy, Ganesh K. ; Aliyu, U.O.

  • Author_Institution
    Electr. Eng. Programme, Abubakar Tafawa Balewa Univ., Bauchi, Nigeria
  • fYear
    2009
  • fDate
    8-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An optimal transient controller for a synchronous generator in a multi-machine power system is designed using the concept of flatness-based feedback linearization in this paper. The computation of the flat output and corresponding controller for reduced order model of the synchronous generator is presented. The required feedback gains used to close the linearization loop is optimized using particle swarm optimization for maximum damping. Typical results obtained for transient disturbances on a two-area, four-generator power system equipped with the proposed controller on one generator and conventional power system stabilizers on the remaining generators are presented. The effectiveness of the flatness-based controller for multi-machine power systems is discussed.
  • Keywords
    optimal control; particle swarm optimisation; power system transient stability; reduced order systems; synchronous generators; flatness-based feedback linearization; generator excitation controller; linearization loop; particle swarm optimization; reduced order model; synchronous generator; transient stability; Control systems; Feedback loop; Linear feedback control systems; Optimal control; Particle swarm optimization; Power generation; Power system modeling; Power system transients; Reduced order systems; Synchronous generators; Flatness; feedback linearization; multi-machine systems; particle swarm optimization; transient stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
  • Conference_Location
    Curitiba
  • Print_ISBN
    978-1-4244-5097-8
  • Type

    conf

  • DOI
    10.1109/ISAP.2009.5352923
  • Filename
    5352923